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Topic: "particle-filters"

hilo-mpc/hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Language: Python - Size: 5.93 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 174 - Forks: 36

milosgajdos/go-estimate

State estimation and filtering algorithms in Go

Language: Go - Size: 873 KB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 116 - Forks: 8

compops/phd-thesis

Accelerating Monte Carlo methods for Bayesian inference in dynamical models

Language: Python - Size: 351 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 8

jvirico/slam-navigation

SLAM navigation on simplified scenario (FastSLAM implementation using Python) based on Particle Filter (Sequential Monte Carlo). What happens when the visual support of a drone is missing?

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1

jgomezdans/dalec_pf

A data assimilation experiment with the DALEC ecosystem model

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 24 hours ago - Pushed at: 10 months ago - Stars: 6 - Forks: 2

yingkunwu/FastSLAM

This project implements grid-based FastSLAM1.0 and FastSLAM2.0 algorithms to solve SLAM problem in a simulated environment.

Language: Python - Size: 271 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

MrVPlusOne/STEADY

Simultaneous State Estimation and Dynamics Learning from Indirect Observations.

Language: Julia - Size: 19.8 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

compops/pmmh-correlated2015

Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables

Language: Python - Size: 260 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

JBris/time-series-online-data-assimilation-experiments

Experiments for online learning and data assimilation for time series data.

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

nicolaloi/Recursive-Estimation

Hybrid Extended Kalman Filter and Particle Filter. Graded project for the ETH course "Recursive Estimation".

Language: MATLAB - Size: 7.32 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

r-aguilera/SimTKpf

Particle Filter estimators using C++ Multibody Dinamics library Simbody

Language: C++ - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

jwbambacht/smart-phone-sensing

Android applications for SmartPhoneSensing course for indoor localization

Language: Java - Size: 3.25 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

sunsided/RoboND-WhereAmI

Localization in a static map, planning in a local map.

Language: CMake - Size: 5.52 MB - Last synced at: 20 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

compops/pmmh-qn

Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals

Language: Python - Size: 520 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

cdemutiis/Kidnapped_Vehicle

Using a 2-dimensional Particle Filter to localize a vehicle

Language: C++ - Size: 374 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

brandonwillard/ParticleBayes

Bayesian Particle Learning models in R

Language: R - Size: 12.2 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

trajkd/Kidnapped-Vehicle

Kidnapped Vehicle (project 6 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Language: C++ - Size: 81.1 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Related Topics
particle-filter 4 bayesian-inference 3 kalman-filter 3 machine-learning 3 data-assimilation 2 markov-chain-monte-carlo 2 time-series 2 state-space-models 2 extended-kalman-filter 2 metropolis-hastings 2 extended-kalman-filters 2 localization 2 unscented-kalman-filter 2 knn 1 self-driving-car 1 self-driving-cars 1 fastslam 1 grid-based-slam 1 slam 1 udacity-robotics-nanodegree 1 indoor-localization 1 bayesian-filters 1 activity-monitoring 1 recursive-estimation 1 recursive-algorithm 1 estimation 1 supervised-learning 1 quasi-newton 1 logistic-regression 1 big-data 1 yaw-rate 1 yaw 1 weights 1 velocity 1 udacity-nanodegree 1 udacity 1 rviz 1 ros-kinetic 1 ros 1 robond 1 monte-carlo-localization 1 lidar 1 gazebo 1 docker 1 amcl 1 unscented-kalman-filtering 1 time-series-prediction 1 time-series-forecasting 1 time-series-analysis 1 particle-filtering 1 online-learning-algorithms 1 online-learning 1 ensemble-kalman-filter 1 data-fusion 1 data-assimilation-enkf 1 sensor-fusion 1 golang 1 filtering 1 estimator 1 roll 1 probabilistic-inference 1 expectation-maximization-algorithm 1 trajectory-tracking-mpc 1 research-education 1 pid 1 path-following-mpc 1 neural-networks 1 mpc 1 moving-horizon-estimation 1 model-predictive-control 1 model-based-optimization 1 mhe 1 lqr 1 kalman-filters 1 hybrid-modeling 1 gaussian-processes 1 slam-navigation 1 photovoltaic 1 hough-transform 1 hot-spots 1 flying-drones 1 convolutional-neural-networks 1 computer-vision 1 canny-edge-detector 1 resampling-wheel 1 resampling 1 probability 1 pitch 1 odometry 1 motion-models 1 motion-model 1 markov-localization 1 markov-assumption 1 c-plus-plus 1 bayes-rule 1 bayes-filter 1 vegetation-model 1 ecosystem-modeling 1 dalec 1 carbon-model 1